Emine Yaman

Emine Yaman is an Associate Professor in the Computer Science and Engineering department at the International University of Sarajevo. She holds a PhD from Vienna University of Technology (2015), following a Bachelor's (2006) and Master's (2008) degree from the same institution. Her research focuses on artificial intelligence, data mining, machine learning, and biological signal processing, with notable contributions to medical diagnostics and educational analytics. She has published extensively in top-tier journals and actively contributes to academic committees and administrative roles at her institution.

Education:

• PhD in Computer Science, Vienna University of Technology (2015)
• MSc in Computer Science, Vienna University of Technology (2008)
• BSc in Computer Science, Vienna University of Technology (2006)

Research interests span interdisciplinary applications of machine learning, including neuromuscular disorder diagnosis via signal processing, cardiovascular disease prediction, and urban spatial analysis during pandemics. Her work often combines advanced algorithms with real-world datasets to address societal challenges in healthcare and education.

Her recent articles highlight trends in hybrid machine learning models for stress analysis, ensemble methods for EMG signal classification, and algorithmic comparisons in medical diagnostics. These studies emphasize practical applications of AI across healthcare, education, and transportation sectors.

Professional service includes administrative roles and committee memberships at the International University of Sarajevo. She maintains active involvement in academic reviewing and publication activities.